A game theoretical cooperative transmission scheme based on anti-eavesdropper cluster beamforming

Chih-Wen Chang, Yin Hsuan Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Recently, the anti-eavesdropper (anti-EVE) technique has been well explored in the literature. However, the constant appearance of EVEs was generally assumed. In other words, these works focused on how to escape from being overheard rather than designing a complete transmission scheme with random appearances of EVEs. Thus, in this paper, we take the random appearances into consideration when designing a cooperative transmission scheme in the cognitive radio network using the anti-EVE cluster beamforming (CB) strategy. When EVE is not observed, the proposed cooperative scheme based on the fair three-stage Stackelberg (FTS) game is carried out; otherwise, the conventional CB cooperative scheme without eavesdropper's channel state information is executed. In the FTS game, the cluster of SUs first determines the transmission power to help PU for packet transmissions. Afterwards, PU can also adjust its willingness of sharing transmission time. To avoid extremely selfish time allocation by PU, a referee can make a fair judgement on the time sharing based on the minimization of the difference between PU's and SUs' utility functions. Compared with the conventional method, the superior performance in the sum transmission rates and power efficiency are proved by simulation results.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
Publication statusPublished - 2015 Jul 1
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 2015 May 112015 May 14

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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